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印度浦那新冠肺炎负担及病死率:对疫情第一波和第二波的分析

Burden of COVID-19 and case fatality rate in Pune, India: an analysis of the first and second wave of the pandemic.

作者信息

Bogam Prasad, Joshi Aparna, Nagarkar Sanket, Jain Divyashri, Gupte Nikhil, Shashidhara L S, Monteiro Joy Merwin, Mave Vidya

机构信息

BJ Government Medical College-Johns Hopkins University Clinical Research Site (CRS), Pune, India.

Johns Hopkins India, Pune, India.

出版信息

IJID Reg. 2022 Mar;2:74-81. doi: 10.1016/j.ijregi.2021.12.006. Epub 2021 Dec 18.

DOI:10.1016/j.ijregi.2021.12.006
PMID:35721428
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8690685/
Abstract

OBJECTIVE

To assess trends in case incidence and fatality rate between the first and second waves, we analyzed programmatic COVID-19 data from Pune city, an epicenter of COVID-19 cases in India.

METHOD

The trends of cases incidence, time-to-death and case fatality rate (CFR) were analyzed. Poisson regression models adjusted for age and gender were used to determine the independent effect of pandemic waves on mortality.

RESULTS

Of 465 192 COVID-19 cases, 162 182 (35%) were reported in the first wave and 4146 (2.5%) deaths, and 275 493 (59%) in the second wave and 3184 (1.1%) deaths (<0.01). The overall CFR was 1.16 per 1000 person-days (PD), which declined from 1.80 per 1000 PD during the first wave to 0.77 per 1000 PD in the second. The risk of death was 1.49 times higher during the first wave (adjusted CFR ratio (aCFRR)1.49; 95% CI: 1.37-1.62) and 35% lower in the second wave (aCFRR 0.65; 95% CI: 0.59-0.70).

CONCLUSION

The burden of COVID-19 cases and deaths was more significant in the second wave; however, the CFR declined as the pandemic progressed. Nevertheless, investigating new therapies and implementing mass vaccination against COVID-19 are urgently needed.

摘要

目的

为评估第一波和第二波疫情期间的病例发病率和死亡率趋势,我们分析了来自印度新冠疫情中心浦那市的新冠疫情防控项目数据。

方法

分析病例发病率、死亡时间和病死率(CFR)的趋势。采用经年龄和性别调整的泊松回归模型来确定疫情波次对死亡率的独立影响。

结果

在465192例新冠病例中,第一波报告了162182例(35%),死亡4146例(2.5%);第二波报告了275493例(59%),死亡3184例(1.1%)(P<0.01)。总体病死率为每1000人日(PD)1.16例,第一波期间从每1000 PD 1.80例降至第二波的每1000 PD 0.77例。第一波期间死亡风险高出1.49倍(调整后病死率比(aCFRR)1.49;95%置信区间:1.37-1.62),第二波降低35%(aCFRR 0.65;95%置信区间:0.59-0.70)。

结论

第二波新冠病例和死亡负担更为显著;然而,随着疫情发展病死率下降。尽管如此,仍迫切需要研究新疗法并实施新冠大规模疫苗接种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41fd/9216386/293a014098e3/gr3b.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41fd/9216386/293a014098e3/gr3b.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41fd/9216386/5665e6ad7eac/gr1a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41fd/9216386/c45b3222a5eb/gr1b.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41fd/9216386/b39eeae51c36/gr1c.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41fd/9216386/45325b8ba85b/gr2a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41fd/9216386/bba2175e44f7/gr2b.jpg
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本文引用的文献

1
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Nature. 2021 May;593(7859):321-322. doi: 10.1038/d41586-021-01274-7.
2
Trends in Patient Characteristics and COVID-19 In-Hospital Mortality in the United States During the COVID-19 Pandemic.美国在 COVID-19 大流行期间患者特征和 COVID-19 院内死亡率的趋势。
JAMA Netw Open. 2021 May 3;4(5):e218828. doi: 10.1001/jamanetworkopen.2021.8828.
3
Post-acute COVID-19 syndrome.新冠病毒感染后长期综合征。
印度新冠疫情第一波与第二波死亡病例的对比研究:一项单中心研究
Cureus. 2023 Apr 12;15(4):e37472. doi: 10.7759/cureus.37472. eCollection 2023 Apr.
4
Overview of COVID-19 mortality in Zoram Medical College, Mizoram: A hospital-based study.米佐拉姆邦佐拉姆医学院新冠肺炎死亡率概述:一项基于医院的研究。
J Family Med Prim Care. 2023 Feb;12(2):253-258. doi: 10.4103/jfmpc.jfmpc_1251_22. Epub 2023 Feb 28.
5
Validation of the Fertility Norms Scale and Association with Fertility Intention and Contraceptive Use in India.《印度生育规范量表的验证及其与生育意愿和避孕措施使用的关系》。
Stud Fam Plann. 2023 Mar;54(1):39-61. doi: 10.1111/sifp.12227. Epub 2023 Jan 23.
6
Evaluation of immunogenicity post two doses of inactivated SARS-CoV-2 vaccine, Covaxin after six months.评估接种两剂灭活 SARS-CoV-2 疫苗(Covaxin)后六个月的免疫原性。
Hum Vaccin Immunother. 2022 Dec 30;18(7):2156753. doi: 10.1080/21645515.2022.2156753. Epub 2022 Dec 28.
7
Epidemiological investigation of the COVID-19 outbreak in Vellore district in South India using Geographic Information Surveillance (GIS).利用地理信息监测(GIS)对印度南部维洛尔地区 COVID-19 疫情的流行病学调查。
Int J Infect Dis. 2022 Sep;122:669-675. doi: 10.1016/j.ijid.2022.07.010. Epub 2022 Jul 8.
8
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9
Detailed phylogenetic analysis tracks transmission of distinct SARS-COV-2 variants from China and Europe to West Africa.详细的系统发育分析追踪了从中国和欧洲传播到西非的不同 SARS-CoV-2 变体。
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Nat Med. 2021 Apr;27(4):601-615. doi: 10.1038/s41591-021-01283-z. Epub 2021 Mar 22.
4
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5
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6
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8
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9
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BMJ Open. 2020 Nov 3;10(11):e043560. doi: 10.1136/bmjopen-2020-043560.
10
Predictors of in-hospital COVID-19 mortality: A comprehensive systematic review and meta-analysis exploring differences by age, sex and health conditions.预测 COVID-19 院内死亡率的因素:一项全面的系统综述和荟萃分析,探讨了年龄、性别和健康状况的差异。
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